Triple
T7588721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen's College, Hong Kong |
E179680
|
entity |
| Predicate | hasAlumnus |
P51
|
FINISHED |
| Object |
Szeto Wah
Szeto Wah was a prominent Hong Kong educator, pro-democracy activist, and trade unionist who played a key role in the territory’s democratic movement and teachers’ union development.
|
E675711
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Szeto Wah | Statement: [Queen's College, Hong Kong, hasAlumnus, Szeto Wah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Szeto Wah Context triple: [Queen's College, Hong Kong, hasAlumnus, Szeto Wah]
-
A.
Tagbanwa
Tagbanwa is an indigenous Philippine script historically used by the Tagbanwa people of Palawan for writing their Austronesian language.
-
B.
Takutea
Takutea is an uninhabited coral atoll in the Cook Islands known for its important seabird nesting colonies and traditional conservation practices.
-
C.
Nokuku
Nokuku is an indigenous Oceanic language spoken by a small community in Vanuatu.
-
D.
Taumarunui
Taumarunui is a rural service town in New Zealand’s central North Island, known as a gateway to the Whanganui River and nearby national parks.
-
E.
Waibakul
Waibakul is a town on the island of Sumba in Indonesia that serves as the administrative and political center of Central Sumba Regency.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Szeto Wah Triple: [Queen's College, Hong Kong, hasAlumnus, Szeto Wah]
Generated description
Szeto Wah was a prominent Hong Kong educator, pro-democracy activist, and trade unionist who played a key role in the territory’s democratic movement and teachers’ union development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Szeto Wah Target entity description: Szeto Wah was a prominent Hong Kong educator, pro-democracy activist, and trade unionist who played a key role in the territory’s democratic movement and teachers’ union development.
-
A.
Tagbanwa
Tagbanwa is an indigenous Philippine script historically used by the Tagbanwa people of Palawan for writing their Austronesian language.
-
B.
Takutea
Takutea is an uninhabited coral atoll in the Cook Islands known for its important seabird nesting colonies and traditional conservation practices.
-
C.
Nokuku
Nokuku is an indigenous Oceanic language spoken by a small community in Vanuatu.
-
D.
Taumarunui
Taumarunui is a rural service town in New Zealand’s central North Island, known as a gateway to the Whanganui River and nearby national parks.
-
E.
Waibakul
Waibakul is a town on the island of Sumba in Indonesia that serves as the administrative and political center of Central Sumba Regency.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c69f335248819093c1006f30513708 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f99991948190af1fb0635895ad94 |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8618d29c4819083e78266af8f2daa |
completed | March 28, 2026, 11:17 p.m. |
| NEDg | Description generation | batch_69c86211e4f88190b38bce6441e33b53 |
completed | March 28, 2026, 11:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c862b8f3688190b0abc00458f70d7e |
completed | March 28, 2026, 11:22 p.m. |
Created at: March 27, 2026, 3:52 p.m.